Data expertise and service development in geoscience data centers and academic libraries

Data curation;Data services;Expertise

Thompson, Cheryl A.

关键词: Data curation;    Data services;    Expertise;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/99182/THOMPSON-DISSERTATION-2017.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

eScience brings the promise of advancements in scientific knowledge as well as new demands on staff who need to manage large and complex data, design user services, and enable open access. One ramification is that research institutions are extending their services and staffing to address data management concerns. As more organizations extend their operations to research data, an understanding of how to develop and support research data expertise and services is needed. How can an organization build data expertise into their staff? This study examines how organizations develop their own data expertise and services, comparing approaches in geoscience data centers and academic libraries. Case studies of two exemplar sites are presented based on evidence from qualitative interviews and artifact collection. The case studies are extended and further informed through qualitative interviews conducted with personnel at other data centers and libraries. The study addresses how to cultivate research data expertise and staffing to support data management services. Key products include a set of expertise categories, data roles, and learning strategies. The results draw attention to the contributions that data professionals make to research projects and to ways research institutions can support data professionals and data work.